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A multiscale morphological algorithm for improvements to canopy height models
Computers & Geosciences, 2019Abstract Pixels with distinctively lower elevation values than the surrounding pixels in a canopy height model (CHM) e.g. pixels representing a pit, often lead to the underestimation of tree heights. To rectify the underestimation, this paper presents a novel multiscale CHM improvement algorithm.
Li Liu 0042 +3 more
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Modeling forest canopy heights: The effects of canopy shape
Remote Sensing of Environment, 1997Abstract Three-dimensional models that represent the top-of-canopy forest height structure were developed to simulate airborne laser profiling responses along forested transects. The simulator which produced these 3-D models constructed individual tree crowns according to a tree's total height, height to first branch, crown diameter, and crown shape (
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Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms
IEEE Transactions on Geoscience and Remote Sensing, 2020This article demonstrates how 3-D vegetation structure can be approximated by interferometric synthetic aperture radar (InSAR) backscatter-height histograms. Single-look backscatter measurements are plotted against the InSAR phase height and are aggregated spatially over a forest patch to form a 3-D histogram, referred to as InSAR backscatter-height ...
Gustavo H. X. Shiroma, Marco Lavalle
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SAR radargrammetry and scanning LiDAR in predicting forest canopy height
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012Our objective was to evaluate the accuracy of estimating forest canopy height when using scanning LiDAR and TerraSAR-X stereo radargrammetry. The study area was located in southern Finland. We used SAR radargrammetry and LiDAR to extract 3D point clouds to derive predictors used in the non-parametric prediction of forest canopy height.
Vastaranta, Mikko +7 more
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A Multi-Scale Approach to Mapping Canopy Height
Photogrammetric Engineering & Remote Sensing, 2013Abstract Mapping vegetation height over large areas presents a prob-lem of scale: height varies with the individual tree or stand, but the resolution of available datasets is too low to char-acterize this variability sufficiently for many applications.
Gordon M. Green +2 more
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Hurricanes are limiting the mangrove canopy heights in the Gulf of Mexico
Science of The Total EnvironmentMangrove canopy height (MCH) has been described as a leading characteristic of mangrove forests, protecting coastal economic interests from hurricanes. Meanwhile, winter temperature has been considered the main factor controlling the MCH along subtropical coastlines.
Marcelo C L, Cohen +4 more
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A backscattering data simulation model for forest canopy based on canopy height information
2018 IEEE Radar Conference (RadarConf18), 2018The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed.
Qiang Gao +3 more
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A forest canopy height surface model for scene simulation
SIMULATION, 1987A model of forest canopy heights can support realistic remote sensing scene simulation. The final pixel (x, y) array of canopy heights results from merging structural and statistical sub-models. The structural model considers tree crowns to be structural primitives and permits explicit specification of forest structural characteristics (crown forms and
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Modelling thermal eddy diffusivity at canopy height
Boundary-Layer Meteorology, 1977A one-dimensional, steady-state plant-atmosphere model using different formulae for the thermal stability function is applied to data for corn crops. There are two general types of formulae available. Those proposed by W. C. Swinbank, A. J. Dyer and B. B. Hicks, and E. K.
L. A. Mehlenbacher, D. W. A. Whitfield
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Tree and Canopy Height Estimation with Scanning Lidar
2003A large part of the research efforts concerning the remote sensing of forests has been devoted to the development of repeatable methods for the extraction of information from monoscopic, two-dimensional images. Emphasis has been on spectral pattern recognition.
Benoît St-Onge +2 more
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